375 citations · 7.8k across the 182 of their papers we have counts for
192 papers
Towards Engineering Scaling Laws with Pretraining Data Composition
Jan-Lucas Uslu, Kevin Greif, Daniel Whiteson +1
Neural scaling laws describe how model performance improves as a power law in compute, model size, and dataset size. While well-established for large language models, these relatio…
Parnassus: A GPU-enabled, Python-based Package for Fast Particle Detector Simulation and Reconstruction
Abdelrahman Elabd, Eilam Gross, Dmitrii Kobylianskii +1
We present the public software release of Parnassus, a Python/PyTorch, GPU-compatible framework for fast detector simulation and reconstruction in particle and nuclear physics. Par…
An AI-ready, Polarized Electron-Positron Collision Dataset
Chi Lung Cheng, Simon Corrodi, T. J. Hobbs +2
We present a modernized, AI-ready release of reconstructed data from the SLD experiment at the SLAC Linear Collider (SLC). The dataset comprises approximately 660{,}000 reconstruct…
Optimal Transport Event Representation for Anomaly Detection
Tianji Cai, Aditya Bhargava, Benjamin Nachman
We introduce optimal transport (OT) as a physics-based intermediate event representation for weakly supervised anomaly detection. With only injection of resonant signals in…
Low Activity Tritium Detection in CCDs Using Deep Learning Techniques
E. Rofors, R. Heller, R. J. Cooper +4
This study explores the use of charge-coupled devices (CCDs) for detecting low-energy beta particles from tritium decay - a critical signal for nuclear safety, nuclear nonprolifera…
Analysis note: measurement of thrust in collisions at = 91 GeV with archived ALEPH data
Anthony Badea, Austin Baty, Hannah Bossi +15
A measurement of the thrust distribution in collisions at GeV with archived data from the ALEPH experiment at the Large Electron-Positron Collider is…